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Author

Jinhu Lu

Other affiliations: King Abdulaziz University, RMIT University, Wuhan University  ...read more
Bio: Jinhu Lu is an academic researcher from Beihang University. The author has contributed to research in topics: Complex network & Chaotic. The author has an hindex of 65, co-authored 371 publications receiving 19762 citations. Previous affiliations of Jinhu Lu include King Abdulaziz University & RMIT University.


Papers
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Journal ArticleDOI
TL;DR: This letter reports the finding of a new chaotic attractor in a simple three-dimensional autonomous system, which connects the Lorenz attractor and Chen's attractsor and represents the transition from one to the other.
Abstract: This letter reports the finding of a new chaotic attractor in a simple three-dimensional autonomous system, which connects the Lorenz attractor and Chen's attractor and represents the transition from one to the other.

1,655 citations

Journal ArticleDOI
TL;DR: Surprisingly, it is found that a network under a typical framework can realize synchronization subject to any linear feedback pinning scheme by using adaptive tuning of the coupling strength.

962 citations

Journal ArticleDOI
TL;DR: In this article, a time-varying complex dynamical network model is introduced, and the synchronization of such a model is determined by the inner-coupling matrix and the eigenvalues and corresponding eigenvectors of the coupling configuration matrix.
Abstract: Today, complex networks have attracted increasing attention from various fields of science and engineering. It has been demonstrated that many complex networks display various synchronization phenomena. In this note, we introduce a time-varying complex dynamical network model. We then further investigate its synchronization phenomenon and prove several network synchronization theorems. Especially, we show that synchronization of such a time-varying dynamical network is completely determined by the inner-coupling matrix, and by the eigenvalues and the corresponding eigenvectors of the coupling configuration matrix of the network.

937 citations

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TL;DR: A unified chaotic system that contains the Lorenz and the Chen systems as two dual systems at the two extremes of its parameter spectrum and is chaotic over the entire spectrum of the key system parameter.
Abstract: This paper introduces a unified chaotic system that contains the Lorenz and the Chen systems as two dual systems at the two extremes of its parameter spectrum. The new system represents the continued transition from the Lorenz to the Chen system and is chaotic over the entire spectrum of the key system parameter. Dynamical behaviors of the unified system are investigated in somewhat detail.

806 citations

Journal ArticleDOI
TL;DR: In this paper, the stability of an n-dimensional linear fractional differential equation with time delays was studied, where the delay matrix is defined in (R+n×n).
Abstract: In this paper, we study the stability of n-dimensional linear fractional differential equation with time delays, where the delay matrix is defined in (R+)n×n. By using the Laplace transform, we introduce a characteristic equation for the above system with multiple time delays. We discover that if all roots of the characteristic equation have negative parts, then the equilibrium of the above linear system with fractional order is Lyapunov globally asymptotical stable if the equilibrium exist that is almost the same as that of classical differential equations. As its an application, we apply our theorem to the delayed system in one spatial dimension studied by Chen and Moore [Nonlinear Dynamics29, 2002, 191] and determine the asymptotically stable region of the system. We also deal with synchronization between the coupled Duffing oscillators with time delays by the linear feedback control method and the aid of our theorem, where the domain of the control-synchronization parameters is determined.

748 citations


Cited by
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Journal ArticleDOI
TL;DR: The major concepts and results recently achieved in the study of the structure and dynamics of complex networks are reviewed, and the relevant applications of these ideas in many different disciplines are summarized, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.

9,441 citations

Proceedings ArticleDOI
22 Jan 2006
TL;DR: Some of the major results in random graphs and some of the more challenging open problems are reviewed, including those related to the WWW.
Abstract: We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

7,116 citations

01 Jan 2012

3,692 citations